Objective
Large Networks is one of the key notions in contemporary science and technology. The availability of massive amounts of data and interaction between individuals of large populations of any kind, whether biological, social or computer units, places network analysis at the forefront of current scientific challenges. The mathematical foundations of large networks have now become the focus of research in the later decades from diverse perspectives. The project RandNET brings together leading researchers worldwide from the areas of combinatorics, probability theory, computer science and statistics with the aim of blending approaches from these areas in the rigorous mathematical foundations for analysing random networks. The whole project is driven by real applications in data science and learning on large networks. This is planned through an alliance between academic and industrial partners. A second goal of the project is to establish a wide platform of knowledge dissemination on the topic of randomness and learning in networks for use of specialists from all scientific disciplines.
Field of science
- /natural sciences/mathematics/applied mathematics/statistics and probability
- /natural sciences/computer and information sciences/data science
Call for proposal
H2020-MSCA-RISE-2020
See other projects for this call
Funding Scheme
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
Coordinator
08034 Barcelona
Spain
Participants (7)
OX1 2JD Oxford
91128 Palaiseau Cedex
1040 Wien
5612 AE Eindhoven
08002 Barcelona
116 36 Praha 1
91620 Nozay
Partners (4)
30332 0420 Atlanta Ga
10 Santiago
22460-320 Rio De Janeiro
H3A0G4 Montreal
